Correlation Between ANSYS and S A P
Can any of the company-specific risk be diversified away by investing in both ANSYS and S A P at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining ANSYS and S A P into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ANSYS Inc and SAP SE ADR, you can compare the effects of market volatilities on ANSYS and S A P and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in ANSYS with a short position of S A P. Check out your portfolio center. Please also check ongoing floating volatility patterns of ANSYS and S A P.
Diversification Opportunities for ANSYS and S A P
Very weak diversification
The 3 months correlation between ANSYS and SAP is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding ANSYS Inc and SAP SE ADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SAP SE ADR and ANSYS is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on ANSYS Inc are associated (or correlated) with S A P. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SAP SE ADR has no effect on the direction of ANSYS i.e., ANSYS and S A P go up and down completely randomly.
Pair Corralation between ANSYS and S A P
Given the investment horizon of 90 days ANSYS is expected to generate 2.26 times less return on investment than S A P. In addition to that, ANSYS is 1.2 times more volatile than SAP SE ADR. It trades about 0.04 of its total potential returns per unit of risk. SAP SE ADR is currently generating about 0.11 per unit of volatility. If you would invest 11,335 in SAP SE ADR on October 3, 2024 and sell it today you would earn a total of 13,286 from holding SAP SE ADR or generate 117.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ANSYS Inc vs. SAP SE ADR
Performance |
Timeline |
ANSYS Inc |
SAP SE ADR |
ANSYS and S A P Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ANSYS and S A P
The main advantage of trading using opposite ANSYS and S A P positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ANSYS position performs unexpectedly, S A P can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in S A P will offset losses from the drop in S A P's long position.ANSYS vs. Rumble Inc | ANSYS vs. Aquagold International | ANSYS vs. Morningstar Unconstrained Allocation | ANSYS vs. Thrivent High Yield |
S A P vs. Tyler Technologies | S A P vs. Roper Technologies, | S A P vs. Cadence Design Systems | S A P vs. PTC Inc |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |